Kimberly graduated from California State University, Los Angeles with a bachelor’s degree in Public Health. Her work entails recruitment, outreach, database management, and data collection for the NEAT study. She also pre-processes and analyzes the activity monitor data from both ABB and NEAT to get measures of physical activity for the DORI project.
Elisabeth works on various studies with the ABCD dataset to analyze how air pollution exposures affect brain diffusion outcomes and mental health in children. She assists with model development, implementation, and analysis. She graduated from the University of Washington School of Public Health with a Master of Science and a focus in Environmental Health.
Hedyeh Ahmadi, Ph.D.
Hedyeh Ahmadi earned her postdoc from University of California, Irvine in 2021 and Ph.D. in Measurement, Evaluation, and Statistics from Columbia University in 2019. She completed her M.S. in Statistics at University of California, Irvine in 2016. Her research focuses on applying and testing of methods for analyzing repeated measure/longitudinal growth models in the context of Neuroscience, Salivary Bioscience, Psychology, and Education. In addition to exploring new methods, Hedyeh teaches advanced statistical methods to researchers via intensive training workshops. More broadly, she is interested in the use of regression models – particularly in the areas of meta-analysis and with censored salivary data.
Kirthana graduated from the University of Texas at Dallas with a Master of Science in Applied Cognition and Neuroscience. She works on studies involving the ABCD dataset to analyze effects of environment such as air pollution exposure on brain diffusion outcomes and mental health. She assists with creation, quality control and analysis of cognitive and neuroimaging data.
Carlos Cardenas-Iniguez (pronouns he/him/his) earned his PhD in Psychology and Integrative Neuroscience from the University of Chicago in 2019. His research focuses on using the ABCD Study dataset to expose the impact of social stratification on the environments in which people live, and how these environments, in turn, impact neural and cognitive development and mental health. His research interests also include the implementation of spatial analysis, critical race theory, and anti-racism principles in neuroscience/psychology research.
Katherine Bottenhorn (she/her) earned her PhD in Psychology and Cognitive Neuroscience from Florida International University in 2021. Her research leverages the ABCD Study dataset to explore how environmental and lifestyle variables are associated with individual differences in functional brain connectivity, cognition, and behavioral outcomes in children and adolescents. Her research interests additionally include uncovering just how much our brains change over the course of everyday life, with a focus on reproductive health and women's health.
Claire graduated from UC Davis with a degree in Neurobiology, Physiology and Behavior. She ran the ABB Pilot Study which looked at the effects of air pollution on brain development and obesity in young adults. Her work evolved to include working on an R03 grant examining the associations between amygdala subnuclei and age, sex, BMI, and puberty in adolescents and creating air pollution estimates for critical periods of development for our DORI project.
Devyn received her Bachelor’s degree in Neuroscience Psychology/Biology from Saint Mary’s College of California, and her Master’s degree in Neuroscience and Translational Medicine from Queen Mary, University of London. She is currently a PhD student at USC in the Neuroscience Graduate Program. Her research interests include employing multimodal neuroimaging techniques to better understand the effects of stress on emotional development and associated brain outcomes in adolescence.
Anisa graduated from UC Berkeley with a degree in Molecular and Cell Biology. She then got her Master's in Neuroimaging and Informatics at USC. In addition to running the NEAT study, Anisa is involved in pre-processing and quality control of the structural scans, assisting with the pipeline to pre-process the diffusion weighted images for both ABB and NEAT, and white matter tractography through amygdala subnuclei in NEAT.
Adam is an undergraduate at USC studying Cognitive Science, alongside an accelerated master's program in Biostatistics. He is currently involved in analyzing data from the NEAT study as part of his master's thesis, with a focus on theory of mind and emotion regulation.
Nour is an undergraduate at USC studying Computational Neuroscience and Computer Science. His work under the NEAT study involves conducting a review on the impacts of Congenital Adrenal Hyperplasia on the brain.